AI and the Evolving Nature of Drug Discovery

In turning molecules into medicines, most studies report success 1 out of 10 tries. Yet rapid discovery and development of safe, effective drugs is crucial to moving the needle in healthcare. With unlimited chemical combinations, discovering new candidate medicines is a lengthy, intricate process. Post discovery, drug development is also slow. Undoubtedly, medications require careful progression from bench to bedside to prevent oversight and harm in the ultimate consumers. But with the goal of breakthrough treatments for all conditions, trending HIT applications just might get equally safe medication to the hands of patients sooner.

Poised to revolutionize drug discovery and development, artificial intelligence is now being used in pharma labs worldwide. AI holds the promise to better drug discovery through its ability to rapidly screen compounds for toxicity and efficacy, and better identify individuals who might benefit from said medications. In clinical trials, AI can be leveraged to more efficiently match eligible patients to providers launching potential life-saving trials. Technology integration is not lowering the standards bar, rather enabling therapeutic development that is smarter, not harder. Companies partnering in this space, some who you'd least expect, are leveraging AI, and each other, to revolutionize the pharma industry as we know it.